Instagram Influencer Data Extraction
Publicada el 2026-07-31
Descripción de la oferta
I need a clean, well-structured Excel workbook that covers two equal groups of Instagram creators: 50 virtual influencers and 50 human influencers. For every account, please pull their complete posting history from 1 Jan 2016 up to the date you finish the scrape. Required fields per influencer • Current follower count • For every post: date, caption or first 100 chars, content type (video, photo, carousel), like count and comment count • Share / repost numbers as well, whenever Instagram exposes them; if the platform hides this on some posts, leave a clear “N/A” so I can see the gap. Output format One .xlsx file with three sheets: 1. “Summary” – influencer handle, category (virtual / human), follower total, post count. 2. “Posts_Virtual” – all posts for the 50 virtual accounts with the fields above. 3. “Posts_Human” – same layout for the human accounts. I will validate by spot-checking a random sample of posts against their live URLs, so accuracy matters more than speed. Tools are up to you—Python, Instaloader, Meta Graph API, Selenium, or another compliant scraper—so long as the final Excel meets the spec and no login credentials are compromised. Please include a brief note on the method you intend to use and an estimate of runtime so I know the scrape can finish within reason.
Skills
Fuente original: freelancer